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Data Mining Tools - List of Manufacturers, Suppliers, Companies and Products

Data Mining Tools Product List

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Example: Pipeline Pilot polymer glass transition temperature calculation

Pipeline Pilot is a tool that can be used in materials informatics. Here, we introduce a case study on calculating the glass transition temperature of polymers.

Pipeline Pilot is a tool that can be utilized in materials informatics. In this case study, we conducted calculations to determine the glass transition temperature of an organic material, specifically a polymer. <Details of the Implementation> - Created a polymer cell - Performed equilibration (structural stabilization) in molecular dynamics calculations and saved the structure - Re-read the saved structure - Conducted molecular dynamics calculations by varying temperature conditions - Analyzed the glass transition point and created a report that can be saved <Output Results> Part of the output includes: - Calculated temperature range and pressure - Force field used in molecular dynamics calculations - Analysis based on heat capacity Various outputs are possible. Pipeline Pilot supports a wide range of fields and is a powerful data mining tool that enables data analysis using data processing and machine learning, as well as integration with other applications. 【Features】 ■ Intuitive user interface ■ Wide range of field support ■ Seamless integration with other software If you have any questions or concerns, please feel free to contact us at sales@wavefront.co.jp.

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Data mining tool 'Pipeline Pilot'

Data mining tools that enable large-scale data processing and analysis, automation of tasks, and visualization of workflows.

This document introduces the data mining tool "Pipeline Pilot" developed and sold by Wavefront Inc., which engages in software development and sales for electronic computers, as well as analysis, design, and consultation using software. Pipeline Pilot is a powerful data mining tool that supports a wide range of fields, enables data analysis using data processing and machine learning, and allows seamless integration with other applications. [Features] ■ Intuitive user interface ■ Support for a wide range of fields ■ Seamless integration with other software *If you have any questions or uncertainties, please feel free to contact us.

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Data mining tool IBM SPSS Modeler

No. 1 domestic market share data mining tool - IBM SPSS Modeler

IBM SPSS Modeler is a data mining software provided by IBM. It currently boasts the number one market share in the domestic data mining market. Even in the modern AI era, it includes algorithms commonly used in AI-related applications, such as neural networks, support vector machines (SVM), and random trees (random forests), allowing for data analysis without coding. It can read and analyze various data from both inside and outside the organization. The software enables easy execution of data input, data processing, analysis, graph creation, and export through a palette on the screen. With the development concept of "incorporating data analysis into business processes," this product visualizes the analysis process and enables collaborative data analysis. Additionally, it supports text analysis, entity analysis, and more. Even advanced analytical algorithms are designed to be appropriately utilized by end users.

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[Example] Pipeline Pilot Prediction of Physical Properties of Organic Molecules

Application of Material Informatics (MI) to the Prediction of Physical Properties of Organic Molecules: Introduction of Use Cases Utilizing the "Pipeline Pilot" Tool.

Case Study of Applying Material Informatics (MI) to Predict the Properties of Organic Molecules - Utilizing the "Pipeline Pilot" tool We will introduce a case study estimating the lipophilicity and hydrophilicity of organic molecules. <Overview> - Pipeline Pilot has various functions, including data transfer, access to other software, and database construction using RestAPI. - Efficient and easy use of data significantly lowers the barrier to the introduction of material informatics. - We will present a case study utilizing Pipeline Pilot for machine learning and data collection to estimate the lipophilicity and hydrophilicity of organic molecules. Pipeline Pilot supports a wide range of fields and is a powerful data mining tool that enables data analysis using data processing and machine learning, as well as seamless integration with other applications. 【Features】 ■ Intuitive user interface ■ Support for a wide range of fields ■ Seamless integration with other software *If you have any questions or concerns, please feel free to contact us at sales@wavefront.co.jp.

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